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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerMainardi Luca
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorIBIO-01/A - Bioengineering
Curriculum VitaeDownload CV (243.5Kb - 29/07/2023)
OrcIDhttps://orcid.org/0000-0002-6276-6314

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
BIOINGEGNERIA - ED. 21IV---MondayFrom 10:00
To 12:00
33473360---
E-mailluca.mainardi@polimi.it
Personal website---

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach (Show >>)
Eyewear-Based ECG Recording: A Novel Head-Electrode Approach for Reliable Cardiac Signal Acquisition (Show >>)
Predicting vulnerable coronary arteries: A combined radiomics-biomechanics approach (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
OPERATION OF IMPLANTABLE MEDICAL DEVICE SYSTEM TO DETERMINE ATRIAL FIBRILLATION RECURRENCE LIKELIHOOD (Show >>)
Conference proceedings
A Novel Protocol for the Quantification of Cardiovascular and Autonomic Responses to Urban Environments through Physiological Signals (Show >>)
Are Error Potential response and detection affected by environments? (Show >>)
Assessing the Performance of MRI-Radiomic Prognostic Signatures in Head and Neck Cancer Patients: A Comparative Analysis (Show >>)
Automatic Right Ventricular Hypertrophic Detection Integrating Electrocardiography-based QRS Biomarkers with Machine Learning (Show >>)
Bioelectrical Measurements of Lenses Effect During Esports Training Sessions: Could the Yellow Lenses Enhance Gaming Performance? (Show >>)
CTGAN in Augmentation of Radiomics Features Classification from Narrow Band Imaging for Laryngeal Cancer (Show >>)
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Show >>)
Explainable AI Analysis of a Prediction Model for Detecting Premature Atrial and Ventricular Complexes (Show >>)
Low-Dose CT-Based Radiomic Model to Identify Malignant Lung Nodules (Show >>)
Predicting High-Risk Patients: A Biomechanical-Based Machine Learning Approach for Coronary Vulnerable Plaques Detection (Show >>)
Prediction of In-Hospital Atrial Fibrillation After Acute Myocardial Infarction (Show >>)
Style Transfer–Assisted Deep Learning Method for Photoplethysmogram Denoising (Show >>)
Journal Articles
An Interpretable Framework Utilizing Radiomics for Laryngeal Cancer Classification Through Narrow Band Imaging (Show >>)
Assessing the impact of stimulation environment and error probability on ErrP EEG response, detection and subject attention: an explorative study (Show >>)
Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli (Show >>)
Developing a robust two-step machine learning multiclassification pipeline to predict primary site in head and neck carcinoma from lymph nodes (Show >>)
ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review (Show >>)
Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools (Show >>)
Identification of Electrocardiographic Patterns Related to Mortality with COVID-19 (Show >>)
Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test (Show >>)
Lung nodule classification using radiomics model trained on degraded SDCT images (Show >>)
MRI radiomics in head and neck cancer from reproducibility to combined approaches (Show >>)
Mixed Reality and Artificial Intelligence: a Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy (Show >>)
Radiomic features of primary retroperitoneal sarcomas: a prognostic study (Show >>)
The One Health approach in urban ecosystem rehabilitation: An evidence-based framework for designing sustainable cities (Show >>)
Understanding the role of emotion in decision making process: using machine learning to analyze physiological responses to visual, auditory, and combined stimulation (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
SYSTEM USING HEART RATE VARIABILITY FEATURES FOR PREDICTION OF MEDICAL PROCEDURE EFFICACY (Show >>)
Contributions on scientific books
Error perception in different environments: Monitor vs Augmented Reality (Show >>)
Conference proceedings
A Novel Classification Model Based on Radiomics for Narrow Band Imaging in Laryngeal Cancer (Show >>)
Cardiac Effect of Acupuncture on the Neiguan Point (Show >>)
Deep Learning Coronary Artery Centerlines Mapping from Contrast-Enhanced CT Images of the Heart (Show >>)
Distinguishing lymph nodes in head and neck cancer patients using MRI-based radiomics (Show >>)
Predicting Comatose Patient's Outcome Using Brain Functional Connectivity with a Random Forest Model (Show >>)
The Subspace Regularization Method Improves ErrP Detection by EEGNET in BCI Experiments (Show >>)
Journal Articles
A CHANCE THROUGH SPORT: QUANTITATIVE ASSESSMENT OF PHYSICAL ACTIVITY LEVEL IN JAIL (Show >>)
Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation (Show >>)
Combined Edge Loss UNet for Optimized Segmentation in Total Knee Arthroplasty Preoperative Planning (Show >>)
Coronary artery plaque rupture and erosion: Role of wall shear stress profiling and biological patterns in acute coronary syndromes (Show >>)
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment (Show >>)
Domain-Specific Processing Stage for Estimating Single-Trail Evoked Potential Improves CNN Performance in Detecting Error Potential (Show >>)
Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data (Show >>)
Investigating the impact of visual perspective in a motor imagery-based brain-robot interaction: A pilot study with healthy participants (Show >>)
MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures (Show >>)
Progettare e monitorare l'attività motoria in spazi difficili (Show >>)
Prognostic radiomic signature for head and neck cancer: Development and validation on a multi-centric MRI dataset (Show >>)
Repeatability and reproducibility of MRI-radiomic features: A phantom experiment on a 1.5 T scanner (Show >>)
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A CNN for Covid Detection Using ECG signals (Show >>)
Analysis of the skin conductance and pupil signals for evaluation of emotional elicitation by images and sounds (Show >>)
CEL-Unet: a novel CNN architecture for 3D Segmentation of Knee Bones affected by Severe Osteoarthritis for PSI-Based Surgical Planning (Show >>)
Cellular Heterogeneity in the Atria: An In Silico Study in the Impact on Reentries (Show >>)
Comparison of different emotion stimulation modalities: an EEG signal analysis (Show >>)
EEG Analysis of Selective Attention during Error Potential BCI experiments (Show >>)
Spectral differences in resting-state EEG associated to individual Emotional Styles (Show >>)
Journal Articles
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction (Show >>)
ARX-based EEG data balancing for error potential BCI (Show >>)
Analysis of physiological and non-contact signals to evaluate the emotional component in consumer preferences (Show >>)
Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort (Show >>)
CEL-Unet: Distance Weighted Maps and Multi-Scale Pyramidal Edge Extraction for Accurate Osteoarthritic Bone Segmentation in CT Scans (Show >>)
Cellular heterogeneity and repolarisation across the atria: an in silico study (Show >>)
Diffusion-weighted MRI radiomics of spine bone tumors: feature stability and machine learning-based classification performance (Show >>)
Ensemble classification combining ResNet and handcrafted features with three-steps training (Show >>)
Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves (Show >>)
Hybrid Convolutional Networks for End-to-End Event Detection in Concurrent PPG and PCG Signals Affected by Motion Artifacts (Show >>)
Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks (Show >>)
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Poincaré Image-Based Detector of ECG Segments Containing Atrial and Ventricular Beats (Show >>)
Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data (Show >>)
Effect of Ischemia on the Spatial Heterogeneity of Ventricular Repolarization: A Simulation Study (Show >>)
Ensemble Learning of Modified Residual Networks for Classifying ECG with Different Set of Leads (Show >>)
Error perception classification in Brain-Computer Interfaces using CNN (Show >>)
Impacts of Cellular Electrophysiological Variability on Conduction Velocity Within Isolated Tissue and Depolarization and Repolarization Across the Whole Atrial Model (Show >>)
It's a Question of Methods: Computational Factors Influencing the Frontal Asymmetry in Measuring the Emotional Valence (Show >>)
Yellow (Lens) Better: Bioelectrical and Biometrical Measures to Assess Arousing and Focusing Effects (Show >>)
Journal Articles
A CT-based radiomic signature can be prognostic for 10-months overall survival in metastatic tumors treated with nivolumab: An exploratory study (Show >>)
A Detector for Premature Atrial and Ventricular Complexes (Show >>)
A comparison of regional classification strategies implemented for the population based approach to modelling atrial fibrillation (Show >>)
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI (Show >>)
Heart Rate Variability and Clinical Features as Predictors of Atrial Fibrillation Recurrence After Catheter Ablation: A Pilot Study (Show >>)
MOS Sensors Array for the Discrimination of Lung Cancer and At-Risk Subjects With Exhaled Breath Analysis (Show >>)
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection (Show >>)
Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients (Show >>)
Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
22/04/2025